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A scaling technique is proposed to maintain the decoding failure probability of Vector Symbol Decoding (VSD) with the increase in data rate. Specifically, the symbol size must be increased in the same ratio as the data rate. VSD is attractive since it allows for a very flexible scaling. This paper also presents a way to compute the optimal maximum number of syndromes to minimize the complexity of...
Today's need of wireless communication is undergoing astounding growth in day to day process. The quality of wireless communication must be enhanced with reduced cost. A coding system is required which can provide high data rate with error free communication and reduced area utilization. Among various error correcting codes, the turbo codes known as Parallel Convolutional Concatenated Code (PCCC)...
A study of the iterations stopping criteria adapted to multi-non-binary turbo-decoders, based on the evolution of a posteriori probability density (APP) is presented. The performaces bit / frame error rate (B/FER) versus signal to noise ratio (SNR) of multi-non-binary turbo codes (MNBTC) equipped with the iterations stopping mechanism proposed in this study are compared with those obtained using the...
Quantum-based transmission is an attractive solution conceived for achieving absolute security. In this quest, we have conceived an EXtrinsic Information Transfer (EXIT) chart aided channel code design for symbol-based entanglement-assisted classical communication over quantum depolarizing channels. Our proposed concatenated code design incorporates a Convolutional Code (CC), a symbol-based Unity...
In this paper we propose a coding and decoding strategy for computing modulo M sums in a Multiple Access Channel over Additive White Gaussian Noise based on linear codes in FM. The complexity of our strategy is the same as the complexity of the linear code and we show that when there are 2 users in the network and M = 2, our strategy is close to the theoretical limit. We also provide some figures...
We jointly design the reconfigurable ring convolutional encoders and reconfigurable convolutional interleavers for the MPEG-4 medical image transmission system. Our objective is to maintain our desirable system performance due to the variation of channels with the lowest system complexity. In order to gain the performance in burst noise environment, we usually apply an interleaver by trading off with...
Error correcting codes have always played a prominent role in the definition of secure and reliable space missions. Both telecommand (TC) and telemetry (TM) have benefited by the introduction of suitable co/decoding schemes, ranging from classic Bose-Chaudhuri-Hocquenghem, Reed-Solomon and convolutional codes to more recent state-of-the art codes based on soft-decision and iterative decoding. As a...
In this paper, we give an overview of spatially coupled turbo codes (SC-TCs), the spatial coupling of parallel and serially concatenated convolutional codes, recently introduced by the authors. For presentation purposes, we focus on spatially coupled serially concatenated codes (SC-SCCs). We review the main principles of SC-TCs and discuss their exact density evolution (DE) analysis on the binary...
Physical Unclonable Functions PUFs are popular security primitives to provide cryptographic keys on FPGAs. However, PUFs require error correction to create reliable cryptographic keys. This work presents a highly optimized Viterbi decoder, adapted to the constraints of PUFs on FPGAs, primarily area but also low power. Our Seesaw architecture contains two block RAMs that are connected through a custom...
In this paper, we present an efficient fault tolerant solution for multi-level per cell (MLC) flash memory that concatenates trellis coded modulation (TCM) with an outer low-density parity-check (LDPC) code. Traditional flash coding systems employ simple hard-decisions based codes, such as Bose-Chaudhuri-Hocquenghem (BCH) codes, that can correct a fixed, specified number of errors. Thanks to the Bahl,...
In this paper, an improved soft in soft out (SISO) iterative decoding scheme for joint source-channel coding is presented. It is realized as the iterative soft decoding of arithmetic code based on sequential decoding to successively prune the decoding tree. Making use of the forecasted forbidden symbols, an error-resistant arithmetic code with an improved a posteriori probability (APP) metric is adopted...
We consider compressive sensing as a source coding method for signal transmission. We concatenate a convolutional coding system with 1-bit compressive sensing to obtain a serial concatenated system model for sparse signal transmission over an AWGN channel. The proposed source/channel decoder, which we refer to as turbo CS, is robust against channel noise and its signal reconstruction performance at...
Spatially coupled regular LDPC code ensembles have outstanding performance with belief propagation decoding and can perform close to the Shannon limit. In this paper we investigate the suitability of coupled regular LDPC code ensembles with respect to rate-flexibility. Regular ensembles with good performance and low complexity exist for a variety of specific code rates. On the other hand it can be...
The novel decoding algorithm for the list decoding of tail-biting convolutional codes is described. The main idea is first to estimate the most reliable state from all state spaces for transmitted codeword by using a Soft Input Soft Output decoder, and then to perform the list Viterbi decoding algorithm from this state around the circular tail-biting trellis. For the LTE standard concatenated coding...
In what follows signal-code constructions employing block and convolutional nonbinary inner codes that can perform under severe jamming are proposed. Robustness of the proposed signal-code constructions to jamming is verified by means of simulation.
In this paper we describe ensemble of Low-Density Parity-Check (LDPC) block codes based on Partial Unit Memory (P)UM codes. We study a decoding performance of received ensemble in the case of different parameters of constituent LDPC codes. The results of simulation of obtained code constructions for an iterative “belief propagation” (Sum-Product) decoding algorithm, applied in the case of transmission...
Convolutional encoding and viterbi algorithm are basic concepts of error correction method. Specifically, viterbi algorithm is one of decoding method for data error correction. This algorithm is used widely in many communication applications. Hence, many researches have been conducted to achieve an efficient implementation of this algorithm. In VLSI area, the design challenges are usually about its...
A new multiple-input multiple-output (MIMO) transmission scheme named\textit{ trellis coded space-shift keying} (TC-SSK) is proposed in this paper. This scheme is obtained by the combination of trellis coding and SSK for a given spectral efficiency, number of transmit antennas and trellis states. A soft decision Viterbi decoder is employed at the receiver to decode the transmitted SSK symbols. Using...
In this paper, a novel setpoint-based design approach for Irregular Repeat Accumulate (IRA) codes in iterative detection and decoding structures is presented. In contrast to conventional IRA code design in which the convolutional decoder is combined with the detector, the goal behind this approach is to keep the IRA decoding structure consisting of convolutional decoder and repetition decoder intact,...
Achieving higher aggregate data rates for many simultaneous users is considered as a fundamental challenge for the next generation of wireless systems. With low-density spreading (LDS), one could transmit information by overloading, i.e., using more spreading sequences than chips with reasonable implementation complexity. In this paper, we propose an improvement to the conventional LDS technique that...
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